THOR Signal

2 thg 10

THOR Signal Indicator

Trend Regime Detection via Volatility-Normalized Acceleration Scoring

The THOR Signal Indicator classifies market direction into “long-favorable” or “short/risk-off” regimes using a three-layer signal process that adapts to volatility, momentum strength, and directional consistency. This script is specifically designed for swing traders looking to reduce false positives during choppy or trendless periods.

⸻

How It Works

THOR does not use standard technical indicators like RSI, MACD, or moving average crossovers. Instead, it creates a composite signal using three custom-calculated conditions:
1. Volatility-Normalized Price Deviation:
• Measures how far price has moved relative to recent volatility.
• Helps distinguish between meaningful trend movement and noise.
2. Directional Acceleration Score:
• Calculates the second derivative (rate of change of momentum) of a smoothed trend backbone.
• Signals regime shifts only when acceleration exceeds a dynamic threshold.
3. Persistence Filter:
• Applies a custom smoothing layer (similar to a Kalman filter) to confirm that directional strength is sustainable and not short-term whipsaw.
• Filters out one-bar momentum spikes.

A signal is plotted only when all three layers agree:
• Green dot = Long-side favorable regime
• Red dot = Short-side or risk-off regime

⸻

Why This Is Different

Unlike standard momentum tools that rely on fixed thresholds (like RSI overbought/oversold levels), THOR dynamically adapts its regime criteria based on the asset’s own behavior. It avoids laggy confirmation signals by using real-time volatility conditioning and trend persistence scoring.

It is not a mashup of public indicators. No MA crossovers, Bollinger Bands, or known oscillator logic is used. The architecture is original and built entirely from low-level functions and mathematical modeling.

⸻

How to Use It
• Best timeframes: Weekly, Daily, or Renko
• Use bar-close confirmation only (do not trade intrabar signals)
• Green dot: Consider long position or hold existing longs
• Red dot: Consider exiting longs or entering defensive stance
• Use with existing risk management and discretionary context

⸻

Use Case
• Swing trade filter
• Trend regime switch detector
• Allocation toggling (risk-on vs risk-off)

⸻

Disclosures

This is a closed-source script. Logic has been explained conceptually to comply with TradingView script publishing policies. No proprietary code is exposed. The tool is not intended as financial advice and does not guarantee accuracy or profitability.

10 thg 10

Phát hành các Ghi chú

THOR Signal Indicator

Trend Regime Detection via Volatility-Normalized Acceleration Scoring

The THOR Signal Indicator classifies market direction into “long-favorable” or “short/risk-off” regimes using a three-layer signal process that adapts to volatility, momentum strength, and directional consistency. This script is specifically designed for swing traders looking to reduce false positives during choppy or trendless periods.

⸻

How It Works

THOR does not use standard technical indicators like RSI, MACD, or moving average crossovers. Instead, it creates a composite signal using three custom-calculated conditions:
1. Volatility-Normalized Price Deviation:
• Measures how far price has moved relative to recent volatility.
• Helps distinguish between meaningful trend movement and noise.
2. Directional Acceleration Score:
• Calculates the second derivative (rate of change of momentum) of a smoothed trend backbone.
• Signals regime shifts only when acceleration exceeds a dynamic threshold.
3. Persistence Filter:
• Applies a custom smoothing layer (similar to a Kalman filter) to confirm that directional strength is sustainable and not short-term whipsaw.
• Filters out one-bar momentum spikes.

A signal is plotted only when all three layers agree:
• Green dot = Long-side favorable regime
• Red dot = Short-side or risk-off regime

⸻

Why This Is Different

Unlike standard momentum tools that rely on fixed thresholds (like RSI overbought/oversold levels), THOR dynamically adapts its regime criteria based on the asset’s own behavior. It avoids laggy confirmation signals by using real-time volatility conditioning and trend persistence scoring.

It is not a mashup of public indicators. No MA crossovers, Bollinger Bands, or known oscillator logic is used. The architecture is original and built entirely from low-level functions and mathematical modeling.

⸻

How to Use It
• Best timeframes: Weekly, Daily, or Renko
• Use bar-close confirmation only (do not trade intrabar signals)
• Green dot: Consider long position or hold existing longs
• Red dot: Consider exiting longs or entering defensive stance
• Use with existing risk management and discretionary context

⸻

Use Case
• Swing trade filter
• Trend regime switch detector
• Allocation toggling (risk-on vs risk-off)

⸻

Disclosures

This is a closed-source script. Logic has been explained conceptually to comply with TradingView script publishing policies. No proprietary code is exposed. The tool is not intended as financial advice and does not guarantee accuracy or profitability.

18 thg 10

Phát hành các Ghi chú

THOR Signal Indicator

Trend Regime Detection via Volatility-Normalized Acceleration Scoring

The THOR Signal Indicator classifies market direction into “long-favorable” or “short/risk-off” regimes using a three-layer signal process that adapts to volatility, momentum strength, and directional consistency. This script is specifically designed for swing traders looking to reduce false positives during choppy or trendless periods.

⸻

How It Works

THOR does not use standard technical indicators like RSI, MACD, or moving average crossovers. Instead, it creates a composite signal using three custom-calculated conditions:
1. Volatility-Normalized Price Deviation:
• Measures how far price has moved relative to recent volatility.
• Helps distinguish between meaningful trend movement and noise.
2. Directional Acceleration Score:
• Calculates the second derivative (rate of change of momentum) of a smoothed trend backbone.
• Signals regime shifts only when acceleration exceeds a dynamic threshold.
3. Persistence Filter:
• Applies a custom smoothing layer (similar to a Kalman filter) to confirm that directional strength is sustainable and not short-term whipsaw.
• Filters out one-bar momentum spikes.

A signal is plotted only when all three layers agree:
• Green dot = Long-side favorable regime
• Red dot = Short-side or risk-off regime

⸻

Why This Is Different

Unlike standard momentum tools that rely on fixed thresholds (like RSI overbought/oversold levels), THOR dynamically adapts its regime criteria based on the asset’s own behavior. It avoids laggy confirmation signals by using real-time volatility conditioning and trend persistence scoring.

It is not a mashup of public indicators. No MA crossovers, Bollinger Bands, or known oscillator logic is used. The architecture is original and built entirely from low-level functions and mathematical modeling.

⸻

How to Use It
• Best timeframes: Weekly, Daily, or Renko
• Use bar-close confirmation only (do not trade intrabar signals)
• Green dot: Consider long position or hold existing longs
• Red dot: Consider exiting longs or entering defensive stance
• Use with existing risk management and discretionary context

⸻

Use Case
• Swing trade filter
• Trend regime switch detector
• Allocation toggling (risk-on vs risk-off)

⸻

Disclosures

This is a closed-source script. Logic has been explained conceptually to comply with TradingView script publishing policies. No proprietary code is exposed. The tool is not intended as financial advice and does not guarantee accuracy or profitability.
Release Notes
THOR Signal Indicator

Trend Regime Detection via Volatility-Normalized Acceleration Scoring

The THOR Signal Indicator classifies market direction into “long-favorable” or “short/risk-off” regimes using a three-layer signal process that adapts to volatility, momentum strength, and directional consistency. This script is specifically designed for swing traders looking to reduce false positives during choppy or trendless periods.

⸻

How It Works

THOR does not use standard technical indicators like RSI, MACD, or moving average crossovers. Instead, it creates a composite signal using three custom-calculated conditions:
1. Volatility-Normalized Price Deviation:
• Measures how far price has moved relative to recent volatility.
• Helps distinguish between meaningful trend movement and noise.
2. Directional Acceleration Score:
• Calculates the second derivative (rate of change of momentum) of a smoothed trend backbone.
• Signals regime shifts only when acceleration exceeds a dynamic threshold.
3. Persistence Filter:
• Applies a custom smoothing layer (similar to a Kalman filter) to confirm that directional strength is sustainable and not short-term whipsaw.
• Filters out one-bar momentum spikes.

A signal is plotted only when all three layers agree:
• Green dot = Long-side favorable regime
• Red dot = Short-side or risk-off regime

⸻

Why This Is Different

Unlike standard momentum tools that rely on fixed thresholds (like RSI overbought/oversold levels), THOR dynamically adapts its regime criteria based on the asset’s own behavior. It avoids laggy confirmation signals by using real-time volatility conditioning and trend persistence scoring.

It is not a mashup of public indicators. No MA crossovers, Bollinger Bands, or known oscillator logic is used. The architecture is original and built entirely from low-level functions and mathematical modeling.

⸻

How to Use It
• Best timeframes: Weekly, Daily, or Renko
• Use bar-close confirmation only (do not trade intrabar signals)
• Green dot: Consider long position or hold existing longs
• Red dot: Consider exiting longs or entering defensive stance
• Use with existing risk management and discretionary context

⸻

Use Case
• Swing trade filter
• Trend regime switch detector
• Allocation toggling (risk-on vs risk-off)

⸻

Disclosures

This is a closed-source script. Logic has been explained conceptually to comply with TradingView script publishing policies. No proprietary code is exposed. The tool is not intended as financial advice and does not guarantee accuracy or profitability.